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This paper presents an dSPACE implementation of three-phase squirrel-cage induction motor control using direct torque control (DTFC) technique with the help of intelligent techniques. A fuzzy PI controller is used in the speed control loop. The classical lookup table is replaced by a neural network selector providing switching state to the inverter. The rotor speed is estimated by a simple open loop...
In this paper, a high performance speed control approach using artificial neural networks (ANNs) and fuzzy logic for the field oriented induction motor (IM) is proposed. This control method is developed using model reference adaptive control (MRAC) to improve the performance of the IM speed. By using an adaptive neural network controller (ANNC) in the MRAC method, the speed of an IM can be controlled...
This paper presents a novel sensorless control method for brushless DC motors using two similar fuzzy logic-based neural network observers. Firstly, two fuzzy logic observers are designed and used to estimate back-EMF space vector components in the stationary reference frame. The inputs of the observers are measured values of line to line voltages and currents, and their outputs are back-EMF space...
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